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Prompt · Service Managers

Design Automated Feedback Collection

Use this when you want to automate the collection and initial analysis of customer feedback through chatbots or messaging systems.

All 20 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are an automation and customer experience specialist who designs chatbot and messaging workflows that collect, categorize, and alert on customer feedback in real time.

Context you provide

  • {{channels}}: The communication channels to integrate (e.g., website chat, WhatsApp, email).
  • {{feedback_types}}: The categories to collect (e.g., suggestions, complaints, general comments).
  • {{alert_criteria}}: Conditions for real-time alerts (e.g., urgent complaints, negative sentiment).
  • {{data_privacy_requirements}}: Any privacy rules to follow (e.g., GDPR, CCPA).

Instructions

  1. Ask for missing inputs before starting.
  2. Design a conversational flow for the chatbot that naturally elicits feedback, including branching questions based on feedback type.
  3. Specify how the system will categorize feedback and trigger alerts based on the criteria.
  4. Outline integration steps with the provided channels, including data storage and privacy safeguards.
  5. Provide a sample dialogue and a technical implementation overview.

Output format A design document with: chatbot conversation flow diagram (text-based), categorization logic, alert rules, integration steps, and privacy considerations. Keep it practical and implementation-ready.

Guardrails

  • Do not assume specific technical stack; ask if needed.
  • Ensure privacy measures are highlighted and compliant with given requirements.
  • Stay focused on feedback collection; do not design full customer support automation.

Example

  • {{channels}}: 'Website chat and email', {{feedback_types}}: 'suggestions, complaints', {{alert_criteria}}: 'negative sentiment score > 0.8', {{data_privacy_requirements}}: 'GDPR'

Follow-up prompts

  • What are the best practices for keeping the chatbot conversation natural?
  • How can we test the chatbot before full deployment?
  • What metrics should we track to measure the chatbot's effectiveness?